Development of selforganization algorithms for navigation systems correction
Authors: Zhao Yang, Shen Xin  
Published in issue: #10(39)/2019  
DOI: 10.18698/25418009201910538  
Category: Informatics, Computer Engineering and Control  Chapter: System Analysis, Control, and Information Processing, Statistics 

Keywords: aircraft, inertial navigation system, selforganization algorithm, navigation system errors, correction scheme, system, mathematical modeling, Kalman filter 

Published: 15.10.2019 
Aircraft are controlled based on information received from navigation systems. Navigation systems have a variety of errors due to design features and operating conditions. The features of all three different inertial navigation system (INS) correction schemes are studied using the mathematical modeling algorithm. The selforganization method allows one to build a predictive model of INS errors. The model is built on the interval of the corrected INS operation. On the interval of autonomous INS operation, using this model, the INS errors and correction in the system output information are forecasted. After restoration of the GPS measurement signal, the INS correction is performed again using the Kalman filter.
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